PERSONAL PRODUCTIVITY
AI cleanup recommendations for snoozed ClickUp tasks
An agent reviews perpetually-snoozed recurring ClickUp tasks, reasons about why each is stuck, and posts a per-task recommendation — kill, merge, reassign, or reschedule.
How it runs
The automated pipeline, trigger to output.
- TriggerGrooming run schedule fires
- ActionPull flagged recurring tasks with context from ClickUpClickUp
- ActionAgent infers cause and recommends an action per taskOpenAI
- LogicGroup recommendations by action type
- OutputPost grouped recommendations to Slack threadSlack
What it does
Goes beyond counting snoozes: an agent reads each chronically-rescheduled recurring task, infers why it keeps getting pushed, and proposes a concrete fix — retire it, merge it into another task, hand it to a different owner, or change its cadence.
When to use it
Use it when the problem is not finding the bad tasks but deciding what to do about them. Good for a periodic backlog grooming session where you want opinionated, task-specific suggestions instead of a raw list.
How it works
- 1A schedule kicks off the grooming run.
- 2The flow pulls flagged recurring tasks from ClickUp with their titles, descriptions, owners, and snooze history.
- 3For each task the agent uses an LLM to classify the likely cause and pick a recommended action with a short rationale.
- 4A logic step groups recommendations by action type so similar fixes are batched.
- 5The grouped recommendations are posted to a Slack thread, one section per action, each linking back to the task.
- 6The operator acts on the suggestions directly from the thread.
Set it up
What you configure once, before turning it on.
- 1Connect ClickUpDocs + tasks + chats in one workspace.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Personal Productivity workflows
Log Outlook promises to Airtable with per-recipient commitment rollups
Captures promises from sent Outlook mail into an Airtable base, linking each commitment to a recipient record so you get a running per-contact view of everything you've promised…
Turn Outlook email promises into assigned Asana tasks with due dates
When you send an email containing a commitment, an LLM extracts the promise and its deadline and creates a corresponding Asana task assigned to you with the due date set.
Auto-decline low-priority invites that collide with deep-work blocks
When a new calendar invite lands on top of a protected deep-work block, an AI scores its priority and auto-declines low-value meetings with a polite note proposing alternative…
Decline focus-block meetings and auto-propose a free slot via Notion log
When a low-priority invite hits a focus block, it declines the meeting, finds your next genuinely free slot, replies with a counter-proposal.
Monthly Meeting Cost Report by Email
On the first of each month, tallies every recurring meeting's total person-hours across the team, converts to an estimated dollar cost.
Auto-create weekly focus blocks around existing meetings and guard them
Every Sunday an agent reads next week's confirmed meetings, carves protected deep-work blocks into the open gaps, sets your Slack status to defend them.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.